Mathematics - Probability and Statistics Option, BS
General Requirements
To earn a degree, students must satisfy all requirements in each of the three areas below, in addition to their individual major requirements.
- CU Denver General Graduation Requirements
- CU Denver Core Curriculum
- College of Liberal Arts & Sciences Graduation Requirements
- Click here for information about Academic Policies
Program Requirements
- Students must complete a total of 54 credit hours, including a minimum of 42 MATH credit hours and nine credit hours in ancillary coursework.
- Students must complete at least 30 upper-division (3000-level and above) credit hours in the major.
- Students must earn a minimum grade of C- (1.7) in all courses that apply to the major and must achieve a minimum cumulative major GPA of 2.25. Courses taken using P+/P/F or S/U grading cannot apply to major requirements.
- Students must complete a minimum of 15 upper-division level MATH credit hours with CU Denver faculty.
Program Restrictions, Allowances and Recommendations
- Students must complete at least 15 of their upper-division level MATH credits with CU Denver faculty.
- Students may not use any of the following MATH courses to count toward major requirements:
- MATH 3195 Linear Algebra and Differential Equations
- MATH 3800 Probability and Statistics for Engineers
- MATH 4830 Applied Statistics
| Code | Title | Hours |
|---|---|---|
| Complete one of the following programming options: | 3-4 | |
| Programming for Data Science | ||
| Fundamentals of Computing and Fundamentals of Computing Laboratory | ||
| Complete all of the following required Mathematics courses: | 33 | |
| Calculus I | ||
| Calculus II | ||
| Calculus III | ||
| Introduction to Abstract Mathematics | ||
| Applied Linear Algebra | ||
| Introduction to Real Analysis I | ||
| Statistical Theory | ||
| Introduction to Probability | ||
| Applied Regression Analysis | ||
| Math Clinic | ||
or MATH 6330 | Workshop in Statistical Consulting | |
| Complete one of the following Probability and Statistics courses: | 3 | |
| Intro to Statistical and Machine Learning | ||
| Machine Learning Methods | ||
| Game Theory | ||
| Probabilistic Modeling | ||
| Data Analysis with SAS | ||
| Complete two MATH elective courses (at least six credit hours) above the 3000 level, excluding MATH 3041, MATH 3195, MATH 3511, MATH 3800, MATH 4015, and MATH 4830. | 6 | |
| Complete 9 additional credit hours (typically 3 courses), countable towards a major in one of the following subjects, at any level: | 9 | |
| Business | ||
| Biology | ||
| Chemistry | ||
| Computer Science | ||
| Economics | ||
| Geography and Environmental Science | ||
| Health and Behavioral Science | ||
| Physics | ||
| Sociology | ||
| Total Hours | 54-55 | |
Business
- Accounting, BS in Business Administration
- Entrepreneurship, BS in Business Administration
- Finance, BS in Business Administration
- Financial Management, BS in Business Administration
- Human Resources Management, BS in Business Administration
- Information Systems, BS in Business Administration
- International Business, BS in Business Administration
- Management, BS in Business Administration
- Marketing, BS in Business Administration
- Risk Management and Insurance, BS in Business Administration
- Sports Business, BS in Business Administration
Biology
- Biology - Biotechnology Track, BS
- Biology - Human Biology Track, BS
- Biology - Integrative Biology Track, BS
- Biology - Microbiology Track, BS
- Biology - Organisms and Ecosystems Track, BS
Chemistry
Computer Science
Economics
Geography and Environmental Science
- Geography - Environment, Society and Sustainability Option, BA
- Geography - Environmental Science Option, BA
- Geography - Urban Studies and Planning, BA
- Geography, BA
Health and Behavioral Science
Physics
Sociology
Other areas allowable on a case-by-case basis.
To learn more about the Student Learning Outcomes for this program, please visit our website.
To review the Degree Map for this program, please visit our website.